Quiz on Sampling Techniques

What is the primary purpose of sampling in research?

• To gather data that can be generalized to a larger population

• To ensure the sample size is as large as possible

• To eliminate bias from the research design

• To select the sample randomly without any criteria

Which of the following is NOT a type of probability sampling?

• Stratified random sampling

• Cluster sampling

• Convenience sampling

• Systematic sampling

What does sampling bias refer to?

• The error that occurs in sampling due to random chance

• The failure to represent all subgroups in the population

• The influence of the researcher's design on data collection

• The ability to generalize results from the sample to the population

In stratified random sampling, how is the population divided?

• By random selection alone

• By geographic location only

• By specific characteristics into subgroups

• By the size of the sample

What is a key advantage of cluster sampling?

• It guarantees representation of all population members

• It is useful for large populations spread over a wide area

• It requires a complete list of the population

• It eliminates the need for random selection

Which of the following methods allows for selecting individuals based on their availability?

• Stratified sampling

• Systematic sampling

• Convenience sampling

• Cluster sampling

What does the term 'sampling frame' refer to?

• The number of samples selected for a study

• The list of all elements in a population

• The method used to select samples

• The process of defining the study population

According to Roscoe's rules of thumb, what is an appropriate sample size for most research?

• Less than 30

• Between 30 and 500

• More than 500

• Exactly 30

Which of the following is an example of non-probability sampling?

• Stratified random sampling

• Systematic sampling

• Cluster sampling

• Purposive sampling

What is one disadvantage of systematic sampling?

• It is difficult to execute

• It may not ensure equal chance of selection for all members

• It requires complex calculations

• It guarantees a representative sample